{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "phishing", "trigger": true, "arguments": ["trusted entity", "victim", "purpose", "place", "time", "tool", "damage amount", "attacker", "attack pattern"]}, {"event_type": "data breach", "trigger": true, "arguments": ["place", "damage amount", "number of data", "tool", "time", "number of victim", "victim", "purpose", "compromised data"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["time", "vulnerability", "common vulnerabilities and exposures", "discoverer", "vulnerable system owner", "capabilities"]}, {"event_type": "ransom", "trigger": true, "arguments": ["damage amount", "payment method", "victim", "price", "attack pattern", "attacker", "place"]}], "input": "Phishing scams aim to trick staff into handing over data -- normally usernames and passwords -- by posing as legitimate email ."}
{"phishing": [{"trigger": "trick", "arguments": {"trusted entity": "NAN", "victim": "staff", "purpose": "handing over data", "place": "NAN", "time": "NAN", "tool": "NAN", "damage amount": "NAN", "attacker": "NAN", "attack pattern": "NAN"}}], "data breach": [], "discover vulnerability": [], "ransom": []}